Content Deep Dive
How to run an embedded vector database in 10 lines of code
Blog post from Weaviate
Post Details
Company
Date Published
Author
Dan Dascalescu
Word Count
580
Company Posts That Month
Language
English
Hacker News Points
-
Post removed?
No
Source URL
Summary
The text discusses using Weaviate, an open source vector search engine, embedded in Python or TypeScript code for testing scenarios. It provides instructions on how to install the client libraries and run the code. Embedded Weaviation allows users to quickly get started with Weaviate without having to manage a separate server instance. The text also mentions use cases such as Jupyter notebooks, integration tests in CI/CD pipelines, and testing near-text search capabilities.
Trends Found in this Post
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| Vector Search | 1 | 1,477 | 156 | 68 | +31% |
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